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Identification of Zinc Efficiency-Associated Loci (ZEALs) and Candidate Genes for Zn Deficiency Tolerance of Two Recombination Inbred Line Populations in Maize

文献类型： 外文期刊

作者： Xu, Jianqin 1 ; Qin, Xiaoxin 1 ; Ni, Zhongfu 2 ; Chen, Fanjun 1 ; Fu, Xiuyi 3 ; Yu, Futong 1 ;

作者机构： 1.China Agr Univ, Coll Resources & Environm Sci, Ctr Resources Environm & Food Secur, Key Lab Plant Soil Interact,MOE, Beijing 100193, Peoples R China

2.China Agr Univ, State Key Lab Agrobiotechnol, Key Lab Crop Heterosis & Utilizat, Key Lab Crop Genet Improvement,MOE, Beijing 100193, Peoples R China

3.Beijing Acad Agr & Forestry Sci BAAFS, Maize Res Ctr, Key Lab Maize DNA Fingerprinting & Mol Breeding, Beijing 100097, Peoples R China

关键词： zinc (Zn); Zn deficiency tolerance; quantitative trait locus (QTL); candidate gene; maize (Zea mays L; )

期刊名称：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES （ 影响因子：6.208； 五年影响因子：6.628 ）

ISSN：

年卷期： 2022 年 23 卷 9 期

页码：

收录情况： SCI

摘要： Zinc (Zn) deficiency is one of the most common micronutrient disorders in cereal plants, greatly impairing crop productivity and nutritional quality. Identifying the genes associated with Zn deficiency tolerance is the basis for understanding the genetic mechanism conferring tolerance. In this study, the K22xBY815 and DAN340xK22 recombination inbred line (RIL) populations, which were derived from Zn-inefficient and Zn-efficient inbred lines, were utilized to detect the quantitative trait loci (QTLs) associated with Zn deficiency tolerance and to further identify candidate genes within these loci. The BLUP (Best Linear Unbiased Prediction) values under Zn-deficient condition (-Zn) and the ratios of the BLUP values under Zn deficient condition to the BLUP values under Zn-sufficient condition (-Zn/CK) were used to perform linkage mapping. In QTL analysis, 21 QTLs and 33 QTLs controlling the Zn score, plant height, shoot and root dry weight, and root-to-shoot ratio were detected in the K22xBY815 population and the DAN340xK22 population, explaining 5.5-16.6% and 4.2-23.3% of phenotypic variation, respectively. In addition, seventeen candidate genes associated with the mechanisms underlying Zn deficiency tolerance were identified in QTL colocalizations or the single loci, including the genes involved in the uptake, transport, and redistribution of Zn (ZmIRT1, ZmHMAs, ZmNRAMP6, ZmVIT, ZmNAS3, ZmDMAS1, ZmTOM3), and the genes participating in the auxin and ethylene signal pathways (ZmAFBs, ZmIAA17, ZmETR, ZmEIN2, ZmEIN3, ZmCTR3, ZmEBF1). Our findings will broaden the understanding of the genetic structure of the tolerance to Zn deficiency in maize.

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